This paper expands on prior work by using whole-brain calcium imaging in Drosophila to
examine how spontaneous and forced walking and turning affect neural activity in the brain …

Foraging for food is an integral part of animal survival. In small insects and invertebrates,
multisensory information and optimized locomotion strategies are used to effectively forage …

The motions that make up animal behavior arise from the interplay between neural circuits
and the mechanical parts of the body. Therefore, in order to comprehend the operational …

We propose a generalization of the widely used fractional Brownian motion (FBM), memory-
multi-FBM (MMFBM), to describe viscoelastic or persistent anomalous diffusion with time …

All animals face the challenge of finding nutritious resources in a changing environment. To
maximize lifetime fitness, the exploratory behavior has to be flexible, but which behavioral …

The foraging behavior of animals is a paradigm of target search in nature. Understanding
which foraging strategies are optimal and how animals learn them are central challenges in …

Reservoir computing (RC), first applied to temporal signal processing, is a recurrent neural
network in which neurons are randomly connected. Once initialized, the connection …

Lévy flight is a type of random walk that characterizes the behaviour of many natural
phenomena studied across a multiplicity of academic disciplines; within biology specifically …

In their pioneering study on dopamine release, Romo and Schultz speculated"... that the
amount of dopamine released by unmodulated spontaneous impulse activity exerts a tonic …

A special class of random walks, so-called Lévy walks, has been observed in a variety of
organisms ranging from cells, insects, fishes, and birds to mammals, including humans …